Steven Quiring

Professor
Faculty

Current CV: Steven_Quiring_CV.pdf

Interests: Climatology, Hydroclimatology, Synoptic Climatology, Climate Data Analytics

Current Research:
I am a climatologist with research interests in hydroclimatology, synoptic climatology and applying climate data to solve societally-relevant problems (climate data analytics). My current research projects are concentrated in two areas. The first is improving our understanding of the land-atmosphere interactions and applying this information to improve drought and seasonal climate predictability. The second is modeling the impact of weather events on power infrastructure. A lot of our past work has focused on the impacts of hurricanes on the power system and now we are expanding our focus to look at thunderstorms and winter storms.I utilize a variety of data mining and data analytics approaches in my research. I also employ a variety of models, including: weather/climate, hydrologic, land surface and crop yield.


Courses Taught:
GEOG 5900 Weather, climate, and global warming
GEOG 5921 Microclimatology: Boundary Layer Climatology
GEOG 8902 Applied Climatology

Select Publications:

Zhang, N., Quiring, S. M., Ochsner, T. and T. W. Ford (2017) Comparison of Three Methods for Vertical Extrapolation of Soil Moisture in Oklahoma. Vadose Zone, 16(10): doi:10.2136/vzj2017.04.0085

Yuan, S. and S. M. Quiring (2017) Evaluation of soil moisture in CMIP5 simulations over contiguous United States using in situ and satellite observations. Hydrology and Earth System Science, 21: 2203–2218. doi:10.5194/hess-21-2203-2017

Zhu, L. and S. M. Quiring (2017) Developing a new extraction method for long-term tropical cyclone precipitation from daily rain gauges. Journal of Hydrometeorology, 18:  2559–2576.

Quiring S. M., Ford T. W., Wang J. K., Khong A., Harris E., Lindgren T., Goldberg D. W., Li Z. (2016) North American Soil Moisture Database: Development and Applications. Bulletin of the American Meteorological Society, 97: 1441–1459, doi: 10.1175/BAMS-D-13-00263.1

Quiring, S. M., Schumacher, A. B. and S. D. Guikema (2014) Incorporating hurricane forecast uncertainty information into decision support applications. Bulletin of the American Meteorological Society, 95: 47-58. doi: 10.1175/BAMS-D-12-00012.1

 

 

Areas of Expertise
  • Climatology
  • Climate Change
  • Quantitative Methods
Education
  • 2005. Ph.D. (Climatology), University of Delaware, Newark, Delaware.
  • 2001. M.A. (Geography), University of Manitoba, Winnipeg, Manitoba, Canada.
  • 1999. B.A. (Geography), University of Winnipeg, Winnipeg, Manitoba, Canada.

Picture for quiring.10

Phone:
614-247-8222
Fax:
614-292-6213
1124 Derby Hall